AIMC Topic: Functional Neuroimaging
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Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder.
NeuroImage
Sep 10, 2016
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to diff...
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.
NeuroImage
Apr 11, 2016
Feedforward deep neural networks (DNNs), artificial neural networks with multiple hidden layers, have recently demonstrated a record-breaking performance in multiple areas of applications in computer vision and speech processing. Following the succes...
Brain activation in parietal area during manipulation with a surgical robot simulator.
International journal of computer assisted radiology and surgery
Apr 7, 2015
PURPOSE: we present an evaluation method to qualify the embodiment caused by the physical difference between master-slave surgical robots by measuring the activation of the intraparietal sulcus in the user's brain activity during surgical robot manip...
A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.
Human brain mapping
Dec 1, 2024
Multimodal neuroimaging is an emerging field that leverages multiple sources of information to diagnose specific brain disorders, especially when deep learning-based AI algorithms are applied. The successful combination of different brain imaging mod...
Neurocyberethics, a new and pertinent approach to neuroethics.
Gaceta medica de Mexico
Jan 1, 2024
Ethics in neuroscience presents an evolutionary development that has required a more punctual attention, from the knowledge of functional neuroimaging that defines the structures related to the emotions and cognitive functions. Systematic review in P...
Effects of passive and active training modes of upper-limb rehabilitation robot on cortical activation: a functional near-infrared spectroscopy study.
Neuroreport
Apr 7, 2021
OBJECTIVE: The purpose of this study is to investigate the cortical activation during passive and active training modes under different speeds of upper extremity rehabilitation robots.
An Evaluation of the Pipeline Framework for Ethical Considerations in Machine Learning Healthcare Applications: The Case of Prediction from Functional Neuroimaging Data.
The American journal of bioethics : AJOB
Nov 1, 2020
Perspectives on Machine Learning for Classification of Schizotypy Using fMRI Data.
Schizophrenia bulletin
Oct 15, 2018
Functional magnetic resonance imaging is capable of estimating functional activation and connectivity in the human brain, and lately there has been increased interest in the use of these functional modalities combined with machine learning for identi...
Preservation of hand movement representation in the sensorimotor areas of amputees.
Brain : a journal of neurology
Dec 1, 2017
Denervation due to amputation is known to induce cortical reorganization in the sensorimotor cortex. Although there is evidence that reorganization does not lead to a complete loss of the representation of the phantom limb, it is unclear to what exte...
Best facilitated cortical activation during different stepping, treadmill, and robot-assisted walking training paradigms and speeds: A functional near-infrared spectroscopy neuroimaging study.
NeuroRehabilitation
Jan 1, 2016
BACKGROUND: Robot-assisted and treadmill-gait training are promising neurorehabilitation techniques, with advantages over conventional gait training, but the neural substrates underpinning locomotor control remain unknown particularly during differen...
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